Using artificial intelligence and machine learning techniques in healthcare applications has
been actively researched over the last few years. It holds promising opportunities as it is …

Earables have emerged as a unique platform for ubiquitous computing by augmenting ear-
worn devices with state-of-the-art sensing. This new platform has spurred a wealth of new …

Chronic and widespread diseases such as obesity, diabetes, and hypercholesterolemia
require patients to monitor their food intake, and food journaling is currently the most …

Wearable devices monitoring food intake through passive sensing is slowly emerging to
complement self-reporting of users' caloric intake and eating behaviors. Though the ultimate …

The development of the technology creates the lot of changes in food processing which
leads to alter human life style. Due to the change of their food habits and lack of attention to …

In this paper, we propose Auracle, a wearable earpiece that can automatically recognize
eating behavior. More specifically, in free-living conditions, we can recognize when and for …

Automatic recognition of behavioral context (location, activities, body-posture etc.) can serve
health monitoring, aging care, and many other domains. Recognizing context in-the-wild is …

In an attempt to help users reach their health goals and practitioners understand the
relationship between diet and disease, researchers have proposed many wearable systems …

Increasingly, buildings are being fitted with sensors for the needs of different sectors, such
as education, industry and business. Using Internet of Things devices combined with …

Eating is one of the most fundamental human activities, and because of the important role it
plays in our lives, it has been extensively studied. However, an objective and usable method …